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Performance of sub-Saharan vertebrates as indicator groups for identifying priority areas for conservation

机译:撒哈拉以南脊椎动物作为确定优先保护领域的指标组的表现

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摘要

The aim of continental and global identification of priority areas for conservation is to identify particularly valuable areas for conservation on which to focus more-detailed effort. Often, these sets of important areas, referred to as priority sets, have been identified through use of data on a single taxon (e.g., birds), which is assumed to act as an indicator for all biodiversity. Using a database of the distributions of 3882 vertebrate species in sub-Saharan Africa, we conducted one of very few large-scale tests of this assumption. We used six potential indicator groups-birds, mammals, amphibians, snakes, threatened birds, and threatened mammals-to find priority sets of 200 areas that best represent the species in that group. Priority sets of grid cells designed to maximize representation of a single indicator group captured 83-93% of species in the other groups. This high degree of representation is consistent with observed high levels of overlap in the patterns of distribution of species in different groups. Those species of highest conservation interest were more poorly represented, however, with only 75-88% of other groups' threatened species and 63-76% of other groups' narrow-range species represented in the priority sets. We conclude that existing priority sets based on indicator groups provide a pragmatic basis for the immediate assessment of priorities for conservation at a continental scale. However, complete and efficient representation-especially of narrow-range species-will not be achieved through indicator groups alone. Therefore, priority-setting procedures must remain flexible so that new areas important for other taxa can be incorporated as data become available. [References: 52]
机译:在大陆和全球范围内确定优先保护领域的目的是要确定特别有价值的保护领域,并将重点放在更具体的工作上。通常,这些重要区域集(称为优先级集)是通过使用单个分类单元(例如鸟类)的数据来确定的,这些数据被假定为所有生物多样性的指标。利用撒哈拉以南非洲3882个脊椎动物物种分布的数据库,我们对该假设进行了极少的大规模测试之一。我们使用了六个潜在的指标组-鸟类,哺乳动物,两栖动物,蛇,受威胁的鸟类和受威胁的哺乳动物-找到200个最能代表该组物种的区域的优先级集。旨在最大化单个指标组代表性的网格单元优先级集捕获了其他组中83-93%的物种。这种高度的代表性与观察到的不同群体中物种分布模式的高度重叠相一致。具有最高保护价值的那些物种的代表性较差,但在优先级集中仅代表其他群体的受威胁物种的75-88%,而其他群体的近距离物种的63-76%。我们得出的结论是,基于指标组的现有优先重点集为即时评估大陆范围内的保护重点提供了务实的基础。但是,仅靠指标组就无法实现完整而有效的代表制,尤其是窄范围物种的代表制。因此,确定优先级的程序必须保持灵活,以便在数据可用时可以合并对其他分类群重要的新区域。 [参考:52]

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